20 citations · 50 across the 6 of their papers we have counts for
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cs.LG2018
Unknown Examples & Machine Learning Model Generalization
Yeounoh Chung, Peter J. Haas, Eli Upfal +1
Over the past decades, researchers and ML practitioners have come up with better and better ways to build, understand and improve the quality of ML models, but mostly under the key…
cs.DB2018★ 3 cited
Temporally-Biased Sampling for Online Model Management
Brian Hentschel, Peter J. Haas, Yuanyuan Tian
To maintain the accuracy of supervised learning models in the presence of evolving data streams, we provide temporally-biased sampling schemes that weight recent data most heavily,…